Agentic A.I. - Bridge The Gap
As we enter the peak of witching season and the ubiquitous theme occupying the minds of CIOs/CTOs’ is of how technology can be best used to further improve the differentiation, stability, workplace productivity and efficiency of their business in 2025. Equally ubiquitous is their common point of scholastic reference, validation and insight – Gartner, of course..
Top of the list sits Agentic A.I. …huh?
Click here to read the report and find out more, and learn how the effective use of A.I. goes way beyond Gen A.I. and LLMs.
By 2028, 33% of enterprise software applications will include agentic AI, up from less than 1% in 2024, enabling 15% of day-to-day work decisions to be made autonomously.
LLMs and Gen A.I. solutions are celebrated for the degree of autonomy with which they can operate and the speed at which they can process huge volumes of data relative to a human operative. Despite the speed, coverage and autonomy advantages, accuracy and control concerns remain prevalent. Imparting control can otherwise be referred to as Agency. How much control you award / achieve is referenced on a low-to-high scale – of course achieving High Agency is the goal.
When only considering LLMs and Gen A.I. tools, those aforementioned concerns rightfully limit the degree of Agency you can reliably achieve – it presents a capability gap that you can close by looking at other A.I. technologies to couple with LLMs etc. Decision intelligence tools (like Merlynn‘s TOM™) certainly present a very credible and proven option to pave the bridge that leads CTOs / CIOs to High Agency destination programmed into their roadmaps.
